Ultramarine 1 Flash

Ultramarine 1 Flash

Paper Instruments
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About

Edgee is an AI gateway that sits between your application and large language model providers, acting as an edge intelligence layer that compresses prompts before they reach the model to reduce token usage, lower costs, and improve latency without changing your existing code. Applications call Edgee through a single OpenAI-compatible API, and Edgee applies edge-level policies such as intelligent token compression, routing, privacy controls, retries, caching, and cost governance before forwarding requests to the selected provider, including OpenAI, Anthropic, Gemini, xAI, and Mistral. Its token compression engine removes redundant input tokens while preserving semantic intent and context, achieving up to 50% input token reduction, which is especially valuable for long contexts, RAG pipelines, and multi-turn agents. Edgee enables tagging requests with custom metadata to track usage and spending by feature, team, project, or environment, and provides cost alerts when spending spikes.

About

Ultramarine 1 Flash is a hosted large language model offered through an API for developers and organizations building AI-assisted professional workflows. It is designed for knowledge-work tasks across areas such as finance, law, consulting, and operations, including research, analysis, and preparation of document-based deliverables. Applications can send prompts and receive streamed or standard responses, use reasoning controls and custom tool calls, and request structured output. The API accepts image inputs and supports OpenAI-compatible chat-completion and Responses formats, as well as Anthropic Messages-compatible requests. Developers can connect through the OpenAI or Anthropic SDKs, Claude Agent SDK, or Claude Code, and can use the model with Paper Instruments' Word, PowerPoint, and Excel libraries. Usage is billed by tokens against a prepaid balance.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Engineering teams and AI product builders who need a unified gateway to compress prompts, control costs, route traffic, and manage LLM providers efficiently in production

Audience

Developers and organizations building AI-enabled knowledge-work tools in finance, law, consulting, and operations.

Support

Phone Support Not Supported
24/7 Live Support Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Not Supported

API

Offers API Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version Supported
Free Trial Not Supported

Pricing

$0.15/1M input tokens
Usage is prepaid and billed per token: input costs $0.15 per 1M tokens, cached input costs $0.03 per 1M tokens, and output, including reasoning, costs $0.50 per 1M tokens.
Free Version Not Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5

Pros & Cons from Real Users

Pros

  • It's so good at professional work that does not have one obvious “correct” answer. It is especially strong for things like research, financial analysis, diligence, writing, business operations, and turning messy information into a polished deliverable. The cost-performance ratio is probably the most impressive part. Paper Instruments reports an average cost of just $0.13 per task on its internal knowledge-work benchmark, while scoring 59.3 compared with 57.8 for Claude Fable 5 and 55.1 for GPT-5.6 Sol.

Cons

  • The main downside is that coding is not really its biggest strength. Its Terminal-Bench and DeepSWE scores are competitive, but models like GPT-5.6 Sol, Gemini 3.8 Flash, and DeepSeek V4.1 Flash still score higher on those coding-focused benchmarks.

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

Edgee
Founded: 2024
United States
www.edgee.ai/

Company Information

Paper Instruments
Founded: 2025
United States
www.paperinstruments.com/ultramarine

Alternatives

Alternatives

GPT-6.1 Sol

GPT-6.1 Sol

OpenAI

Categories

AI Gateways Supported

Categories

AI Models Supported

Integrations

OpenAI Supported
Claude Supported
Claude Agent SDK Not Supported
Claude Code Not Supported
Claude Duet Supported
Claude for Legal Supported
Gemini Supported
Grok Supported
Mistral AI Supported
OpenAI Agents SDK Not Supported

Integrations

OpenAI Supported
Claude Not Supported
Claude Agent SDK Supported
Claude Code Supported
Claude Duet Not Supported
Claude for Legal Not Supported
Gemini Not Supported
Grok Not Supported
Mistral AI Not Supported
OpenAI Agents SDK Supported
Claim Edgee and update features and information
Claim Edgee and update features and information
Claim Ultramarine 1 Flash and update features and information
Claim Ultramarine 1 Flash and update features and information